The iterative advancement of artificial intelligence technologies is profoundly reshaping the production logic and structural forms of the cultural content industry. As a core carrier of traditional Chinese aesthetics, Chinese painting is now encountering a historic transition from “museumization” to “digital activation.” From the dual perspectives of art theory and digital humanities, this paper systematically examines the multiple pathways through which artificial intelligence intervenes in the creation, dissemination, and industrial transformation of Chinese painting. The study finds that generative AI, through technologies such as generative adversarial networks (GANs) and diffusion models, not only empowers the innovation of creative tools in Chinese painting, but also gives rise to new forms of industry, including immersive interactive experiences, personalized cultural and creative product development, and digital collectible transactions. However, behind this technological empowerment lie profound challenges: the tension between algorithmic logic and the Eastern aesthetic ideal of qiyun shengdong (spiritual resonance and vitality), the ambiguity surrounding copyright ownership of AI-generated content, and the risk that “averaged aesthetics” may erode artistic originality. This paper argues that establishing a framework of human– machine symbiosis in both creative ethics and institutional regulation, while preserving the essential aesthetic identity of Chinese painting amid the surge of algorithmic technologies, is key to achieving its creative transformation and innovative development in the digital age.
목차
Abstract I. Introduction II. Technological Empowerment: AI as a Novel Tool for Chinese Painting Creation 1. From Auxiliary Tool to Creative Partner: The Evolution of AI's Role 2. Case Analysis: AI-Based Restoration, Completion, and Re-Creation III. Formal Innovation: From Static Paper-Based Forms to Immersive Interaction 1. Media Transformation and the Reconstruction of Aesthetic Experience 2. Immersive Experience: From Viewing to Entering the Painting 3. Digital Curation: Reconstructing the Interpretive Dimensions of Cultural Heritage 4. IP-Oriented Operations: The Contemporary Transformation of Chinese Painting Elements IV. Industrial Restructuring: Value Chain Reconfiguration and Institutional Innovation 1. The Digital Transformation of the Means and Relations of Production 2. Inclusive Education and the Restructuring of Talent Development Systems 3. Innovation in Transaction Models: NFTs and Digital Collectibles V. Challenges and Reflections 1. Qiyun from a Phenomenological Perspective 2. The Essential Characteristics and Limitations of AI-Generated Art VI. Conclusion and Prospects Reference